期刊
FORENSIC SCIENCE INTERNATIONAL
卷 236, 期 -, 页码 164-169出版社
ELSEVIER IRELAND LTD
DOI: 10.1016/j.forsciint.2013.12.022
关键词
Video forensics; Passive forensics; Object-based forgery; Video in-painting; Object detection
资金
- National Natural Science Foundation of China [61072122, 61379143]
- Program for New Century Excellent Talents in University [NCET-11-0134]
- Specialized Research Fund for the Doctoral Programme of Higher Education [20120161110014]
- Key Project of Hunan Provincial Natural Science Foundation [11JJ2053]
Object-based manipulations, such as adding or removing objects for digital video, are usually malicious forgery operations. Compared with the conventional double MPEG compression or frame-based tampering, it makes more sense to detect these object-based manipulations because they might directly affect our understanding towards the video content. In this paper, a passive video forensics scheme is proposed for object-based forgery operations. After extracting the adjustable width areas around object boundary, several statistical features such as the moment features of detailed wavelet coefficients and the average gradient of each colour channel are obtained and input into support vector machine (SVM) as feature vectors for the classification of natural objects and forged ones. Experimental results on several videos sequence with static background show that the proposed approach can achieve an accuracy of correct detection from 70% to 95%. (C) 2014 Elsevier Ireland Ltd. All rights reserved.
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